Internal Working of the len() Function in Python

The len() function in Python has a very peculiar characteristic that one had often wondered about. It takes absolutely no time, and equal time, in calculating the lengths of iterable data structures(string, array, tuple, etc.), irrespective of the size or type of data. This obviously implies O(1) time complexity. But have you wondered How?

Python follows the idea that keeping the length as an attribute is cheap and easy to maintain. len() is actually a function that calls the method ‘__len__()’. This method is defined in the predefined classes of iterable data structures. This method actually acts as a counter, that is automatically incremented as the data is defined and stored. Thus when you call the len() function, you do not give the interpreter the command to find the length by traversing, but rather you ask the interpreter to print a value that is already stored. Hence, len() function in Python runs in O(1) complexity.

Thus it can also be defined as:

filter_none

editclose

play_arrow

linkbrightness_4code

deflength(ar):

# calling the internally

# defined __len__() method

returnar.__len__()

# Drive's code

a =[1, 2, 3, 4]

print(length(a))

chevron_right

filter_none

Output:

4

Note: This might seem very beneficial, but remember that it puts a remarkable burden on the interpreter during the data definition phase. This is one of the many reasons why Python is slower during competitive programming, especially with big inputs.

If you like GeeksforGeeks and would like to contribute, you can also write an article using contribute.geeksforgeeks.org or mail your article to contribute@geeksforgeeks.org. See your article appearing on the GeeksforGeeks main page and help other Geeks.

Please Improve this article if you find anything incorrect by clicking on the "Improve Article" button below.